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parthrohit22/README.md

Parth Rohit

I build AI-native systems and backend software where outputs, data and system behaviour remain inspectable.

Portfolio · LinkedIn

What this GitHub shows

The pinned repositories are the work. This profile is the context behind it.

I care about systems that remain understandable after they ship: where a fact came from, who owns the state, what happens when a dependency fails and how another engineer can reproduce or challenge the result.

Engineering concern What I look for
AI behaviour Grounded context, citations where evidence matters and clear output boundaries
Backend systems Typed contracts, explicit ownership, durable state and defensible data decisions
Reliability Failure paths, controlled errors, tests that exercise more than the happy path
Trust Provenance, audit history, deterministic checks and honest capability limits
Delivery Readable repositories, meaningful pull requests, CI, review gates and documentation

Current GitHub focus

  • Repository intelligence: building PARTHA, which converts a codebase into structured, source-backed context for engineers and AI tools.
  • Open-source quality: holding merge access to OpenShield's dev branch and owning its tests and documentation as a CODEOWNER.
  • AI products: building systems that keep retrieval, model outputs and state boundaries checkable rather than opaque.

Technical stack

Languages

Python · TypeScript · JavaScript · SQL · C++

Backend and data

FastAPI · Django · Django Ninja · Flask · REST APIs · Pydantic · PostgreSQL · Redis · MongoDB · SQLite · SQLAlchemy · Alembic

AI systems

LLM integrations · Workers AI · RAG · Embeddings · Retrieval · Citations · Output validation · Model evaluation · MCP

Cloud and delivery

Cloudflare Workers · Durable Objects · Microsoft Azure · Docker · GitHub Actions · CI/CD · Application Insights

Testing and security

pytest · Django tests · Vitest · Playwright · CodeQL · Dependency audits · Failure-path testing · RBAC

Open source

I contribute to OpenShield, an open-source Azure cloud-security posture management project.

My work includes scanner correctness, compliance mappings, database reliability, CI validation, tests, documentation and the OpenShield Learn portal. The project holds an OpenSSF Best Practices passing badge and is progressing through OWASP governance. I will become a maintainer under OWASP when that migration completes.

Tooling

I use Codex and Claude Code to accelerate exploration and implementation. The architecture, tests, reviews and code that leave a repository remain my responsibility.

Pinned Loading

  1. kalyx kalyx Public

    Execution evidence integrity system for hash-chained execution records, deterministic verification, checkpoint continuity, and Raspberry Pi anchoring.

    Python 2

  2. Second-Origin/PARTHA Second-Origin/PARTHA Public

    Repository intelligence for private and evolving codebases—powering architecture, dependencies, reviews, documentation, and trustworthy AI.

    Python 9 6

  3. lyta lyta Public

    Stateful edge-based AI system with deterministic execution under concurrency. Built using Cloudflare Workers, Durable Objects, and SSE streaming.

    TypeScript 1

  4. openshield-org/openshield openshield-org/openshield Public

    Open source CSPM for Azure - scan for misconfigurations and quantum-unsafe cryptography, map findings to CIS/NIST/ISO27001/SOC2, and fix them with one command

    Python 55 69

  5. ReturnProof ReturnProof Public

    Evidence-driven stock return reconciliation agent that resolves conflicting warehouse and supplier data with deterministic routing, temporal reasoning, and auditable decisions.

    Python

  6. SecureSense SecureSense Public

    Python